scholarly journals Riding the Plane Wave: Considerations for In Vivo Study Designs Employing High Frame Rate Ultrasound

2018 ◽  
Vol 8 (2) ◽  
pp. 286 ◽  
Author(s):  
Jason Au ◽  
Richard Hughson ◽  
Alfred Yu
Keyword(s):  
Plane Wave ◽  
Frame Rate ◽  
In Vivo Study ◽  
High Frame Rate ◽  
Study Designs

scholarly journals In-vivo synthetic aperture and plane wave high frame rate cardiac imaging

2014 ◽  
Author(s):  
Matthias Bo Stuart ◽  
Jonas Jensen ◽  
Andreas Hjelm Brandt ◽  
Svetoslav Ivanov Nikolov ◽  
Michael Bachmann Nielsen ◽  
...  
Keyword(s):  
Plane Wave ◽  
Cardiac Imaging ◽  
Frame Rate ◽  
Synthetic Aperture ◽  
High Frame Rate

scholarly journals Flow Velocity Mapping Using Contrast Enhanced High-Frame-Rate Plane Wave Ultrasound and Image Tracking: Methods and Initial in Vitro and in Vivo Evaluation

2015 ◽  
Vol 41 (11) ◽  
pp. 2913-2925 ◽  
Author(s):  
Chee Hau Leow ◽  
Eleni Bazigou ◽  
Robert J. Eckersley ◽  
Alfred C.H. Yu ◽  
Peter D. Weinberg ◽  
...  
Keyword(s):  
Plane Wave ◽  
Flow Velocity ◽  
Frame Rate ◽  
Velocity Mapping ◽  
In Vivo Evaluation ◽  
High Frame Rate ◽  
Image Tracking ◽  
Contrast Enhanced

scholarly journals High Resolution, High Contrast Beamformer Using Minimum Variance and Plane Wave Nonlinear Compounding with Low Complexity

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 394
Author(s):  
Xin Yan ◽  
Yanxing Qi ◽  
Yinmeng Wang ◽  
Yuanyuan Wang
Keyword(s):  
Plane Wave ◽  
Dimensional Space ◽  
Contrast Ratio ◽  
Low Complexity ◽  
Minimum Variance ◽  
Frame Rate ◽  
Channel Noise ◽  
Length Estimation ◽  
Lower Dimensional Space

The plane wave compounding (PWC) is a promising modality to improve the imaging quality and maintain the high frame rate for ultrafast ultrasound imaging. In this paper, a novel beamforming method is proposed to achieve higher resolution and contrast with low complexity. A minimum variance (MV) weight calculated by the partial generalized sidelobe canceler is adopted to beamform the receiving array signals. The dimension reduction technique is introduced to project the data into lower dimensional space, which also contributes to a large subarray length. Estimation of multi-wave receiving covariance matrix is performed and then utilized to determine only one weight. Afterwards, a fast second-order reformulation of the delay multiply and sum (DMAS) is developed as nonlinear compounding to composite the beamforming output of multiple transmissions. Simulations, phantom, in vivo, and robustness experiments were carried out to evaluate the performance of the proposed method. Compared with the delay and sum (DAS) beamformer, the proposed method achieved 86.3% narrower main lobe width and 112% higher contrast ratio in simulations. The robustness to the channel noise of the proposed method is effectively enhanced at the same time. Furthermore, it maintains a linear computational complexity, which means that it has the potential to be implemented for real-time response.

Cardiac imaging with high frame rate contrast enhanced ultrasound: In-vivo demonstration

2016 ◽  
Author(s):  
M. Toulemonde ◽  
Y. Li ◽  
S. Lin ◽  
M.X. Tang ◽  
M. Butler ◽  
...  
Keyword(s):  
Cardiac Imaging ◽  
Frame Rate ◽  
Contrast Enhanced Ultrasound ◽  
High Frame Rate ◽  
Contrast Enhanced

Plane-wave transverse oscillation for high-frame-rate 2-D vector flow imaging

2015 ◽  
Vol 62 (12) ◽  
pp. 2126-2137 ◽  
Author(s):  
Matteo Lenge ◽  
Alessandro Ramalli ◽  
Piero Tortoli ◽  
Christian Cachard ◽  
Hervé Liebgott
Keyword(s):  
Plane Wave ◽  
Transverse Oscillation ◽  
Frame Rate ◽  
Flow Imaging ◽  
High Frame Rate

Spontaneous Extension Wave for In Vivo Assessment of Arterial Wall Anisotropy

2021 ◽  
Author(s):  
Dan Ran ◽  
Jinping Dong ◽  
He Li ◽  
Wei-Ning Lee
Keyword(s):  
Carotid Artery ◽  
Arterial Wall ◽  
Guided Wave ◽  
Frame Rate ◽  
Mechanical Anisotropy ◽  
Natural Wave ◽  
High Frame Rate ◽  
Longitudinal Stiffness ◽  
Anisotropy Index

Another type of natural wave, traced from longitudinal wall motion and propagation along the artery, is unprecedentedly observed in our in vivo human carotid artery experiments. We coin it as extension wave (EW) and hypothesize that EW velocity (EWV) is associated with arterial longitudinal stiffness. The EW is thus assumed to complement the PW, whose velocity (PWV) is tracked from the radial wall displacement and linked to arterial circumferential stiffness through the Moens-Korteweg equation, as indicators for arterial mechanical anisotropy quantification by noninvasive high-frame-rate ultrasound. The relationship between directional arterial stiffnesses and the two natural wave speeds was investigated in wave theory, finite-element simulations based on isotropic and anisotropic arterial models, and in vivo human common carotid artery (N=10) experiments. Excellent agreement between the theory and simulations showed that EWV was 2.57 and 1.03 times higher than PWV in an isotropic and an anisotropic carotid artery model, respectively, while in vivo EWV was consistently lower than PWV in all 10 healthy human subjects. A strong linear correlation was substantiated in vivo between EWV and arterial longitudinal stiffness quantified by a well-validated vascular guided wave imaging technique (VGWI). We thereby proposed a novel index calculated as EWV2/PWV2 as an alternative to assess arterial mechanical anisotropy. Simulations and in vivo results corroborated the effect of mechanical anisotropy on the propagation of spontaneous waves along the arterial wall. The proposed anisotropy index demonstrated the feasibility of the concurrent EW and PW imaged by high frame-rate ultrasound in grading of arterial wall anisotropy.

A Self-supervised Deep Learning Approach for High Frame Rate Plane Wave Beamforming with Two-way Dynamic Focusing

2021 ◽  
Author(s):  
Yinran Chen ◽  
Jing Liu ◽  
Xiongbiao Luo ◽  
Jianwen Luo
Keyword(s):  
Deep Learning ◽  
Plane Wave ◽  
Frame Rate ◽  
Learning Approach ◽  
High Frame Rate
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